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运用人工神经网络的理论和方法,建立了基于BP神经网络的矿井通风系统安全评价模型,并利用MATLAB7.0进行编程,实现了矿井通风系统的安全评价预测。通过某矿通风系统的实例评价,预测结果与实测结果相符,表明应用人工神经网络在矿井通风系统安全评价方面是可行的。
Using artificial neural network theory and method, the mine ventilation system safety evaluation model based on BP neural network is established and programmed by using MATLAB7.0 to realize the safety assessment and prediction of mine ventilation system. Through the case evaluation of a mine ventilation system, the prediction results are consistent with the measured results, which shows that the application of artificial neural network is feasible in mine ventilation system safety evaluation.